Senior Data Scientist
Tasks
- Apply MLOps for model versioning and deployment
- Build train and evaluate models at scale
- Collaborate with domain experts for production ready models
- Communicate model performance to stakeholders
- Develop physics informed predictive models
- Improve data pipelines and deployment infrastructure
- Translate physical phenomena into models
Perks/Benefits
Skills/Tech-stack
Data Pipelines | Databricks | Deployment | MLOps | Machine Learning | Model Hosting | Model versioning | Python | Statistical modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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